E3S Web Conf.
Volume 114, 2019International Conference of Young Scientists “Energy Systems Research 2019”
|Number of page(s)||4|
|Section||Development and Operation of Energy Systems|
|Published online||04 September 2019|
Forecasting the need for inclusion of the heating system with application of fuzzy logic methods
Platov South-Russian State Polytechnic University (NPI), Prosveshcheniya str. 132, Novocherkassk, Russia
Currently, when predicting the operating modes of heating systems, only temperature is taken into account. But other factors also influence human perceptions: wind speed, humidity, cloudiness, light. When calculating the heat loss of buildings, these factors are also taken into account, but not when determining the operating modes of heating systems. The article proposes to assess the need to turn on the heating system based on the value of a fuzzy function that simulates the concept of «perceived temperature».
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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